About This Site
Open-source vector database and search engine for similarity search in AI applications. Qdrant is an open-source vector database and vector search engine written in Rust. It provides fast and scalable vector similarity search service with convenient API. It blends vector similarity with custom logic using Score Boosting Reranker. Qdrant integrates with all leading embeddings and frameworks, turning embeddings or neural network encoders into full-fledged applications for matching, searching, recommending, and more.
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Key Features AI
Core Features
High-performance vector search at scale
Cloud-native scalability & high-availability
Ease of use & simple deployment
Cost efficiency with storage options
Rust-powered reliability & performance
Integrates with leading embeddings and frameworks
Advantages
Open-source and written in Rust for reliability and performance.
Scalable vector similarity search with a convenient API.
Integrates with various embeddings and frameworks.
Offers cloud-native scalability and high availability.
Provides cost-efficient storage options with built-in compression.
Used by thousands of top AI solutions.
缺点：May require technical expertise to deploy and manage.
缺点：Pricing for enterprise solutions is only available upon request.
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